Cognitive Computing in ICT
Course: Cognitive Computing in ICT
Code: 3ФЕИТ07004
ECTS points: 6 ECTS
Number of classes per week: 3+0+0+3
Lecturers: Asst. Prof. Dr. Valentin Rakovikj, Asst. Prof. Dr. Daniel Denkovski
Course Goals (acquired competencies): Getting acquainted with the characteristics and concepts of cognitive computing. Relevant aspects of cognitive computing for ICT scenarios. Understanding the concept of machine learning and beyond big data. Analysis and design of ICT services based on cognitive computing. Elements of cognitive computing and communications in the cloud. Ability to develop cognitive services and applications.
Course Syllabus: Introduction. Basic concepts. Possible system architectures. Basic connection between ICT and cognitive computing. Aspects of cognitive computing based on neural networks in ICT. Cognitive analysis in ICT. Use of Bayes regression, Weevlet regression and SVM in future ICT applications and services. Aspects and basics concepts of cognitive computation in IoT and IoE.
Literature:
|
Required Literature |
||||
|
No. |
Author |
Title |
Publisher |
Year |
|
1 |
Vijay V. Raghavan, et al. |
Handbook of Statistics: Cognitive computing, theory and applications |
North Holland |
2016 |
|
2 |
Kai Hwang, Min Chen |
Big-Data Analytics for Cloud, IoT and Cognitive Computing |
Wiley |
2017 |
